SIMUL8 User Group - Visual8 Case Study - Plywood Manufacturing.

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Visual8 Corporation WSC2013 – SIMUL8 User Group Presentation

description

A presentation by Matthew Concannon of Visual8 at the SIMUL8 East Coast User Group on December 11, 2013. This case study looks at plywood manufacturing and optimizing the process to reduce time and wasted materials.

Transcript of SIMUL8 User Group - Visual8 Case Study - Plywood Manufacturing.

Page 1: SIMUL8 User Group - Visual8 Case Study - Plywood Manufacturing.

Visual8 Corporation

WSC2013 – SIMUL8 User Group Presentation

Page 2: SIMUL8 User Group - Visual8 Case Study - Plywood Manufacturing.

Agenda

About Visual8 – Company Overview

Example Projects

Case Study – Automated Plywood Patching Line

Live Demonstration

Questions & Answers

Conclusion

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Background:

– Industrial Engineering & Operations Research Consultants

– Provide productivity improvements to companies through simulation modeling, analysis and optimization

Business Focus:

– Simulation Consulting, Training & Support with SIMUL8

– Optimization, Planning & Scheduling

– Strategic, Tactical & Operational Level Decision Support

Industry Specialization:

– General Manufacturing, Distribution & Supply Chain

– Automotive, Food & Beverage, Plastics, Oil & Gas

– Mining, Smelting, Metals Processing

Company Profile

Visual8 Overview

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Distribution Centre – Inventory Management

Example Projects

Objective:

To identify whether the warehouse can conform to plan

To determine the inventory sizing required for all products

To allocate spacing and materials handling to all floors

Solution:

Create a warehousing simulation of the entire DC and show inventory movements, arrivals and shipments, inventory spacing, and labour requirements.

Benefits:

Capacity Planning tool for new products

Correct sizing of inventory for product mix and replenishment

Proven delivery capability to stores

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Dairy Cooler – Process Improvement

Example Projects

Objective:

Evaluate the impact of product layout and staff plans on labour picking time

Determine the impact of sequencing and batching of product on storage requirements and order fulfillment

Solution:

Created a component-based flexible simulator that can be used to simulate the operation of all 15 Dairies

Benefits:

Increased output with minimal capital changes

Determine the capacity limits of the materials handling system

Standardized Best-Practices Procedures across plants

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Candy Manufacturer – Capacity Planning

Example Projects

Objective:

Consolidation of external packaging plant within plant

To identify WIP and Finished Goods space requirements

To evaluate impact of smaller batches to directly feed packing

Solution:

Create a plant-wide simulation of entire Candy operations and simulate the impact of the new packaging lines

Benefits:

Decrease in transportation and plant costs

Correct inventory sizing prior to commissioning of line

Identified a need for a tighter scheduling system

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Example Projects 7

Automotive Bumper Line – Takt-Time Analysis

Objective:

Demonstrate capability of planned assembly line to Customer

To determine the correct number of assembly stations

To allocate appropriate tasks and parts to stations

Solution:

Create an assembly-line simulation of the Bumper line and show build rates, line replenishment requirements, delivery rates, and labor requirements

Benefits:

Reduced commissioning time of the line to meet TAKT times

Correct sizing of bins for product mix and replenishment

Proven delivery capability to Customer

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Case Study – Plywood Finishing 8

Background:

Major US plywood manufacturer wanted to update their current manual defect patching process to an automated robotic line.

A number of different design configurations were proposed and the company wanted a way to effectively evaluate them.

Project Objective:

Design and construct detailed simulation models of the various proposed patch line designs

Conduct sensitivity analysis study to help determine the configuration best suited to meet client requirements.

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Case Study – Plywood Finishing 9

Project Steps:

1. Coordination & Data Collection

2. Initial Simulation Model Development

3. Preliminary Analysis & Review

4. Model Refinement and In-Depth Analysis

5. Onsite Review and Discussion

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Process Description - Current 10

Manual Plywood Inspection & Repair

• Stacks of manufactured plywood delivered to the line

• Plywood conveyed through a panel inspection/repair area on rigid belt

• Defects in panel manually processed by two workers

• Routing to remove defects such as knots

• Patching to fill holes left by router and other defects such as cracks

Process Issues

• Lack of quality control

• High level of rework

• Excessive use of Patching compound

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Process Description - Planned 11

Automated Inspection & Repair

• Stacks of manufactured plywood delivered to the line

• Plywood conveyed through an imaging tool to identify quantity, types, sizes and locations of defects

• Product conveyed to Routing or combined Routing and Patching equipment, indexed and locked into position

• Routing operation to remove defects such as knots

• Patching operation to fill holes left by router and other defects such as cracks

Key considerations

• Supply of plywood/movement of product through the scanner and line not an issue

• Need to achieve high throughput with good utilization of equipment, Limited floor space available

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Process Description - Planned 12

Defect Scanning Panel Repair Stations

Panel Exit

Panel Loading

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Design Layouts 17

Scenario 1a – Parallel Work Centers (Combined Route & Patch)

Key Design Factors:

1. Route & Patch operations

combined in same work

center (line)

2. Dedicated routing & patch

robots

3. Simple board conveyance

(even distribution to work

centers)

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Design Layouts 18

Scenario 1b – Parallel Work Centers (Separate Route & Patch)

Key Design Factors:

1. Route & Patch operations

separate for each work

center (line)

2. Dedicated routing & patch

robots

3. Simple board conveyance

(even distribution to work

centers)

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Design Layouts 19

Scenario 1c – Parallel Work Centers (Defect-based Board Routing)

Key Design Factors:

1. Route & Patch operations

combined in same work

center

2. Dedicated routing & patch

robots

3. Dual patch robots in one

work center

4. Defect-based board

conveyance (high defect

boards routed to dual robot

work centers)

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Design Layouts 20

Scenario 1d – Parallel Work Centers (Shared Patch Robots)

Key Design Factors:

1. Route & Patch operations

separate in same work

center

2. Two patch robots shared

between to work centers

3. Simple board conveyance

(even distribution to work

centers)

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Design Layouts 21

Scenario 1e – Parallel Work Centers (Shared Patch + Defect Routing)

Key Design Factors:

1. Route & Patch operations

separate in same work

center

2. Two patch robots shared

between to work centers

3. Dual patch robots in one

work center

4. Defect-based board

conveyance (high defect

boards routed to dual robot

work centers)

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Design Layouts 22

Scenario 1f – Parallel Work Centers (Separate Route & Patch)

Key Design Factors:

1. Route & Patch operations

separate for each work

center (line)

2. Dedicated routing & patch

robots

3. Simple board conveyance

(even distribution to work

centers)

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Design Layouts 23

Scenario 2a – Alternating Patch Robots (In/Out Conveyance)

Key Design Factors:

1. Route & Patch operations

combined in same work

center

2. Patch robots shared

between two work centers

3. Boards move into and out

of work centers from same

side

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Design Layouts 24

Scenario 2b – Alternating Patch Robots (Flow-through Conveyance)

Key Design Factors:

1. Route & Patch operations

combined in same work

center

2. Patch robots shared

between two work centers

3. Boards flow through work

centers

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Design Layouts 25

Layout 3 – Multiple Patch Robots per Board

Key Design Factors:

1. Single Work Center

resulting in lower space

utilization

2. Work on a single board

divided out to 4 robots

3. Boards flow through work

center

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Design Layouts 26

Layout 4 – Combined Routing & Patch Robots

Key Design Factors:

1. Route & Patch operations

combined in same work

center

2. Routing and patch

operations are completed

by single robot

3. Boards flow through work

centers

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Sensitivity Analysis Testing 27

Generated Data:

Simulation trials based on Panel data created using distributions

• AC Grade / BC Grade / Siding Grade

Real Data:

Single runs utilizing actual Scanner data

• AC Grade / BC Grade / Siding Grade

Breakdowns/Efficiency:

• Randomized breakdowns

• Scheduled stoppages

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Results 28

Key Findings: • Parallel Work Centers yield optimal throughput

• Maximize Patch Robot Utilization by alternating workstations or combining Route/Patch

• Minimize Routing & Patching overlap

• Parallel Work Centers increase redundancy

• Flow-though Work Centers at Patch if possible

Layout 1A Layout 1B Layout 1C Layout 1D Layout 1E Layout 1F Layout 2A Layout 2B Layout 3 Layout 4

Router 1: Utilization % 22.5 24.2 22.2 24.2 22.4 24.2 20.1 20.0 40.7 -

Router 2: Utilization % 22.4 24.3 22.2 24.4 22.5 24.0 19.8 19.8 32.6 -

Router 3: Utilization % 22.6 24.4 26.6 33.8 33.8 24.2 20.0 20.0 33.9 -

Router 4: Utilization % - - - - - 24.5 20.1 20.0 26.3 -

Patching 1: Working % 70.7 76.3 69.7 76.2 89.9 76.4 79.2 86.2 18.0 81.8

Patching 2: Working % 70.6 76.4 69.7 76.3 95.3 76.2 84.6 77.3 17.6 81.9

Patching 3: Working % 70.6 76.3 37.8 48.1 48.2 76.1 79.6 86.3 - 81.8

Patching 4: Working % - - 45.7 57.9 57.9 76.4 84.3 77.1 - 81.6

Board Count 4820 5207 5071 5881 5620 6938 5706 5751 3602 5518

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Results 29

Highest throughput scenario Layout 1F:

Issues: • Unbalanced line yields underutilized Patch robots • Reconfiguring the line to balance line would mean exceeding floor space

limitations or require complex conveyor set up • Additional equipment & conveyance required – potential reliability impacts

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Results 30

Final choice Layout 4:

Layout analysis: • Throughput requirements met • Machine utilization requirements achieved • Floor space limitations not exceeded • Conveyance simplicity maintained

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Presentation of Sample Model

Questions & Answers

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Example Model, Q & A

Live Demonstration